Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations

Diagnostics, Год журнала: 2025, Номер 15(4), С. 456 - 456

Опубликована: Фев. 13, 2025

Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights advanced algorithmic methods in pursuit of an enhanced understanding and applications recognition. Methods: study was conducted PRISMA guidelines, involving a rigorous selection process that resulted the inclusion 64 empirical studies explore modalities such as fMRI, EEG, MEG, discussing their capabilities limitations It further evaluates architectures, including neural networks, CNNs, GANs, terms roles classifying emotions from various domains: human-computer interaction, mental health, marketing, more. Ethical practical challenges implementing these systems are also analyzed. Results: identifies fMRI powerful but resource-intensive modality, while EEG MEG more accessible high temporal resolution limited by spatial accuracy. Deep models, especially CNNs have performed well emotions, though they do not always require large diverse datasets. Combining data behavioral features improves classification performance. However, ethical challenges, privacy bias, remain significant concerns. Conclusions: has emphasized efficiencies detection, technical were highlighted. Future research should integrate advances, establish innovative enhance system reliability applicability.

Язык: Английский

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Dual-MEG interbrain synchronization during turn-taking verbal interactions between mothers and children

Cerebral Cortex, Год журнала: 2022, Номер 33(7), С. 4116 - 4134

Опубликована: Сен. 20, 2022

Abstract Verbal interaction and imitation are essential for language learning development in young children. However, it is unclear how mother–child dyads synchronize oscillatory neural activity at the cortical level turn-based speech interactions. Our study investigated interbrain synchrony pairs during a turn-taking paradigm of verbal imitation. A dual-MEG (magnetoencephalography) setup was used to measure brain from interactive simultaneously. Interpersonal synchronization compared between socially noninteractive tasks (passive listening pure tones). Interbrain networks showed increased conditions theta alpha bands. Enhanced interpersonal observed right angular gyrus, triangular, left opercular parts inferior frontal gyrus. Moreover, these parietal regions appear be hubs exhibiting high number connections. These areas could serve as marker component social communication. The present first investigate interactions using setup. results advance our understanding suggest role “gating” learning.

Язык: Английский

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The angular gyrus: a special issue on its complex anatomy and function

Brain Structure and Function, Год журнала: 2022, Номер 228(1), С. 1 - 5

Опубликована: Ноя. 11, 2022

Язык: Английский

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Adaptive short-term plasticity in the typical reading network

NeuroImage, Год журнала: 2023, Номер 281, С. 120373 - 120373

Опубликована: Сен. 10, 2023

The left temporo-parietal cortex (TPC) is crucial for phonological decoding, i.e., learning and retaining sound-letter mappings, appears hypoactive in dyslexia. Here, we tested the causal contribution of this area reading typical readers with transcranial magnetic stimulation (TMS) explored network's response fMRI. By investigating underlying neural correlates stimulation-induced modulations network, can help improve targeted interventions individuals 28 adult overtly read simple complex words pseudowords during fMRI after effective sham TMS over TPC. To explore differences functional activation connectivity within performed univariate multivariate analyses, as well dynamic modeling. While TMS-induced effects on performance brain showed large individual variability, analyses revealed a shift inferior frontal pseudoword TMS. Furthermore, increased from ventral occipito-temporal to In absence performance, observed changes task-related activity increase coupling between two core nodes suggest successful short-term compensatory reorganization network following disruption. This study first neurophysiological induced by node while performing an overt task. We provide evidence remote emphasize relevance interactions network.

Язык: Английский

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Causal evidence for a coordinated temporal interplay within the language network

Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(47)

Опубликована: Ноя. 14, 2023

Recent neurobiological models on language suggest that auditory sentence comprehension is supported by a coordinated temporal interplay within left-dominant brain network, including the posterior inferior frontal gyrus (pIFG), superior and sulcus (pSTG/STS), angular (AG). Here, we probed timing causal relevance of between these regions means concurrent transcranial magnetic stimulation electroencephalography (TMS-EEG). Our TMS-EEG experiments reveal region- time-specific evidence for bidirectional information flow from left pSTG/STS to pIFG back during processing. Adapting condition-and-perturb approach, our findings further can be AG in state-dependent manner.

Язык: Английский

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Altered angular gyrus activation during the digit symbol substitution test in people living with HIV: beyond information processing speed deficits

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 17, 2025

Speed-of-information processing (SIP) is often impaired in people living with HIV (PLWH), typically assessed through tests such as the digit symbol (DS) and search, which also rely on motor executive functions. This study aims to disentangle SIP deficits from other cognitive impairments PLWH using an MRI-adapted substitution test (mDSST). Fifty-seven (34.7 ± 11.2 years) 50 age-matched without (PLWoH, 31.8 9.9 completed standardized neuropsychological mDSST. Behavioral performances brain activations were compared, correlations drawn between group-differentiating clinical ratings of domains. Results showed that performed worse DS made fewer responses, was slower mDSST, correlating ratings. Notably, greater attention compared PLWoH, rather than or motor. exhibited primary cortex activation reduced right angular gyrus activation. These findings suggest SIP-related may be partially linked abnormal visuospatial attention, reflected by activation, higher potentially serving a compensatory mechanism. Future studies should explore whether prefrontal regions implicated are more severely affected PLWH.

Язык: Английский

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Dynamics and concordance alterations of intrinsic brain activity indices in stroke-induced Broca’s aphasia varies based on first language: a resting-state fMRI analysis

Brain Research Bulletin, Год журнала: 2025, Номер unknown, С. 111312 - 111312

Опубликована: Март 1, 2025

This study aimed to investigate the changes in intrinsic brain activity (IBA) among individuals with Broca aphasia (BA) after a stroke. We collected information from 60 participants. The participants were categorized into four groups according language (Uyghur and Chinese) BA status (BA healthy): Uyghur patients (UA), healthy control subjects (UH), Chinese (CA), (CH). Each group comprised 15 individuals. shifting dynamics concordance of regional IBA indices examined via sliding time-window analysis. A two-way analysis variance (ANOVA) was conducted test for regions interactions between status. Partial correlation employed evaluate relationships various behaviors. Participants head motion exceeding 3 mm translation or 3° rotation excluded, leaving 9, 12, 13, UA, CA, UH, CH groups, respectively. Seven activated 16 groups. In detail, ANOVA revealed significant interaction dynamic (amplitude low-frequency fluctuations (ALFF), Regional homogeneity (ReHo), degree centrality (DC), functional connectivity (FC)) 11 (P < 0.000). For other three (fractional amplitude fluctuation (fALFF), Voxel-mirrored homotopic (VMHC), Global signal (GSCorr)), no observed However, main effect state demonstrated differences across total six alterations fALFF, ReHo, VMHC, DC, GSCorr right calcarine fissure surrounding cortex significantly lower CA than = 0.000), higher UA 0.025), UH conclusion, CH. These findings suggest that index varies different local languages, providing novel perspective investigating by analyzing temporal using rs-fMRI data.

Язык: Английский

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A transcranial magnetic stimulation study on the role of the right angular gyrus in orienting and reorienting of attention toward threat

Cognitive Affective & Behavioral Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Язык: Английский

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Neural network localization in Parkinson’s disease with impulse control disorders

Frontiers in Aging Neuroscience, Год журнала: 2025, Номер 17

Опубликована: Март 28, 2025

There is a huge heterogeneity of magnetic resonance imaging findings in Parkinson's disease (PD) with impulse control disorders (ICDs) studies. Here, we hypothesized that brain regions identified by structural and functional studies PD ICDs could be reconciled common network. In this study, an initial systematic literature review was conducted to collect evaluate whole-brain related ICDs. We subsequently utilized the Human Connectome Project (HCP) dataset (n = 1,093) novel connectivity network mapping (FCNM) technique identify affected A total 19 25 contrasts, incorporating 345 individuals ICDs, 787 without were included analysis. By using HCP FCNM technique, ultimately aberrant neural networks predominantly involve default mode (middle inferior temporal gyrus, anterior cingulate cortex, angular gyrus) subcortical (caudate nucleus). This study suggests heterogeneous neuroimaging can attributed shared abnormalities networks. These dysfunctions are associated impaired self-regulation, decision-making, heightened impulsivity Our integrate diverse results from previous studies, providing clearer understanding neurobiological mechanisms underlying at level.

Язык: Английский

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Alterations in static and dynamic functional network connectivity in chronic low back pain: a resting-state network functional connectivity and machine learning study

Neuroreport, Год журнала: 2025, Номер 36(7), С. 364 - 377

Опубликована: Апрель 9, 2025

Low back pain (LBP) is a prevalent condition whose persistence can lead to changes in the brain regions responsible for sensory, cognitive, attentional, and emotional processing. Previous neuroimaging studies have identified various structural functional abnormalities patients with LBP; however, how static dynamic large-scale network connectivity (FNC) of affected these remains unclear. Forty-one chronic low (cLBP) 42 healthy controls underwent resting-state MRI scanning. The independent component analysis method was employed extract networks. Subsequently, we calculate compare between groups intra- inter-network connectivity. In addition, investigated differences temporal metrics cLBP controls. Finally, tried distinguish from by support vector machine method. results showed that significant reductions within were found DMN,DAN, ECN patients. Significant between-group also FNC each state FNC. terms metrics, fraction time mean dwell significantly altered conclusion, our study suggests existence alterations cLBP. findings provide insights into neural mechanisms underlying function experiences

Язык: Английский

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